Nigeria Education Datasets
Collection
45 education datasets for Nigeria covering students, teachers, academics, and digital learning (4.4M records) • 45 items • Updated • 2
trend_id stringlengths 23 23 | school_id stringlengths 14 14 | academic_year stringclasses 11
values | num_applications float64 50 2k ⌀ | num_accepted float64 20 1.9k ⌀ | num_enrolled float64 14 1.77k ⌀ | acceptance_rate float64 0.4 0.95 ⌀ | enrollment_rate float64 0.7 0.95 ⌀ | country stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
NGA_SCH_000000_ADM_2016 | NGA_SCH_000000 | 2016/2017 | null | 455 | null | 0.500889 | 0.894923 | Nigeria |
NGA_SCH_000000_ADM_2017 | NGA_SCH_000000 | 2017/2018 | 1,094 | 531 | 392 | 0.48581 | 0.738999 | Nigeria |
NGA_SCH_000000_ADM_2018 | NGA_SCH_000000 | 2018/2019 | 380 | 247 | 193 | 0.652587 | 0.783427 | Nigeria |
NGA_SCH_000000_ADM_2019 | NGA_SCH_000000 | 2019/2020 | 921 | 727 | 512 | 0.78944 | 0.705146 | Nigeria |
NGA_SCH_000000_ADM_2020 | NGA_SCH_000000 | 2020/2021 | 819 | 652 | 609 | 0.797099 | 0.934638 | Nigeria |
NGA_SCH_000000_ADM_2021 | NGA_SCH_000000 | 2021/2022 | 435 | 217 | 161 | 0.500004 | 0.745851 | Nigeria |
NGA_SCH_000000_ADM_2022 | NGA_SCH_000000 | 2022/2023 | 509 | 374 | 262 | 0.736409 | 0.701767 | Nigeria |
NGA_SCH_000000_ADM_2023 | NGA_SCH_000000 | 2023/2024 | 906 | 507 | 432 | 0.560176 | 0.852963 | Nigeria |
NGA_SCH_000000_ADM_2024 | NGA_SCH_000000 | 2024/2025 | 1,755 | 747 | 704 | 0.425666 | 0.943439 | Nigeria |
NGA_SCH_000001_ADM_2014 | NGA_SCH_000001 | 2014/2015 | 1,007 | 837 | 627 | 0.831847 | 0.749918 | Nigeria |
NGA_SCH_000001_ADM_2015 | NGA_SCH_000001 | 2015/2016 | 1,640 | 1,542 | 1,259 | 0.940777 | 0.816691 | Nigeria |
NGA_SCH_000001_ADM_2016 | NGA_SCH_000001 | 2016/2017 | 1,558 | 1,143 | 848 | 0.73415 | 0.742631 | Nigeria |
NGA_SCH_000001_ADM_2017 | NGA_SCH_000001 | 2017/2018 | 216 | 87 | 81 | 0.407296 | 0.93555 | Nigeria |
NGA_SCH_000001_ADM_2018 | NGA_SCH_000001 | 2018/2019 | 63 | 53 | 41 | 0.844619 | 0.776153 | Nigeria |
NGA_SCH_000001_ADM_2019 | NGA_SCH_000001 | 2019/2020 | 614 | 323 | 245 | 0.526992 | 0.760256 | Nigeria |
NGA_SCH_000001_ADM_2020 | NGA_SCH_000001 | 2020/2021 | 1,005 | 469 | 386 | 0.467121 | 0.823794 | Nigeria |
NGA_SCH_000001_ADM_2021 | NGA_SCH_000001 | 2021/2022 | 84 | 75 | 57 | 0.900126 | 0.764695 | Nigeria |
NGA_SCH_000001_ADM_2022 | NGA_SCH_000001 | 2022/2023 | 1,945 | 1,586 | 1,278 | 0.815449 | 0.806289 | Nigeria |
NGA_SCH_000001_ADM_2023 | NGA_SCH_000001 | 2023/2024 | 615 | 430 | 320 | 0.700691 | 0.746214 | Nigeria |
NGA_SCH_000001_ADM_2024 | NGA_SCH_000001 | 2024/2025 | 752 | 649 | 527 | 0.863257 | 0.812439 | Nigeria |
NGA_SCH_000002_ADM_2018 | NGA_SCH_000002 | 2018/2019 | 1,045 | 761 | 708 | 0.728845 | 0.930469 | Nigeria |
NGA_SCH_000002_ADM_2019 | NGA_SCH_000002 | 2019/2020 | 505 | 360 | 298 | 0.713744 | 0.830209 | Nigeria |
NGA_SCH_000002_ADM_2020 | NGA_SCH_000002 | 2020/2021 | 1,775 | 1,027 | 818 | 0.578932 | 0.797169 | Nigeria |
NGA_SCH_000002_ADM_2021 | NGA_SCH_000002 | 2021/2022 | 387 | 269 | 227 | 0.696831 | 0.846688 | Nigeria |
NGA_SCH_000002_ADM_2022 | NGA_SCH_000002 | 2022/2023 | 266 | 147 | 122 | 0.554514 | 0.835674 | Nigeria |
NGA_SCH_000002_ADM_2023 | NGA_SCH_000002 | 2023/2024 | 1,114 | 627 | 464 | 0.56295 | 0.741317 | Nigeria |
NGA_SCH_000002_ADM_2024 | NGA_SCH_000002 | 2024/2025 | 1,930 | 1,819 | 1,624 | 0.942788 | 0.893061 | Nigeria |
NGA_SCH_000003_ADM_2016 | NGA_SCH_000003 | 2016/2017 | 697 | 280 | 253 | 0.403037 | 0.903865 | Nigeria |
NGA_SCH_000003_ADM_2017 | NGA_SCH_000003 | 2017/2018 | 642 | 507 | 455 | 0.791238 | 0.897544 | Nigeria |
NGA_SCH_000003_ADM_2018 | NGA_SCH_000003 | 2018/2019 | 428 | 188 | 148 | 0.440725 | 0.789616 | Nigeria |
NGA_SCH_000003_ADM_2019 | NGA_SCH_000003 | 2019/2020 | 90 | 81 | 73 | 0.903228 | 0.91251 | Nigeria |
NGA_SCH_000003_ADM_2020 | NGA_SCH_000003 | 2020/2021 | 829 | 482 | 345 | 0.581994 | 0.71589 | Nigeria |
NGA_SCH_000003_ADM_2021 | NGA_SCH_000003 | 2021/2022 | 456 | 350 | 303 | 0.767863 | 0.866481 | Nigeria |
NGA_SCH_000003_ADM_2022 | NGA_SCH_000003 | 2022/2023 | 733 | 550 | 506 | 0.750657 | 0.921803 | Nigeria |
NGA_SCH_000003_ADM_2023 | NGA_SCH_000003 | 2023/2024 | 1,010 | null | 580 | 0.61061 | 0.942928 | Nigeria |
NGA_SCH_000003_ADM_2024 | NGA_SCH_000003 | 2024/2025 | 692 | 566 | 475 | 0.818432 | 0.840319 | Nigeria |
NGA_SCH_000004_ADM_2014 | NGA_SCH_000004 | 2014/2015 | 920 | 388 | 340 | 0.422238 | 0.877666 | Nigeria |
NGA_SCH_000004_ADM_2015 | NGA_SCH_000004 | 2015/2016 | 1,931 | 799 | 580 | 0.413981 | 0.726973 | Nigeria |
NGA_SCH_000004_ADM_2016 | NGA_SCH_000004 | 2016/2017 | 1,648 | 1,471 | 1,204 | 0.89267 | 0.818843 | Nigeria |
NGA_SCH_000004_ADM_2017 | NGA_SCH_000004 | 2017/2018 | 1,070 | null | 673 | 0.679714 | 0.926892 | Nigeria |
NGA_SCH_000004_ADM_2018 | NGA_SCH_000004 | 2018/2019 | 1,480 | 1,083 | 904 | 0.73243 | 0.83496 | Nigeria |
NGA_SCH_000004_ADM_2019 | NGA_SCH_000004 | 2019/2020 | 590 | 310 | 222 | 0.525839 | 0.719245 | Nigeria |
NGA_SCH_000004_ADM_2020 | NGA_SCH_000004 | 2020/2021 | 1,772 | 1,385 | 1,274 | 0.782132 | 0.920117 | Nigeria |
NGA_SCH_000004_ADM_2021 | NGA_SCH_000004 | 2021/2022 | 731 | 617 | 529 | 0.844466 | 0.858351 | Nigeria |
NGA_SCH_000004_ADM_2022 | NGA_SCH_000004 | 2022/2023 | 695 | 452 | 341 | 0.651094 | 0.75461 | Nigeria |
NGA_SCH_000004_ADM_2023 | NGA_SCH_000004 | 2023/2024 | 1,413 | 1,258 | 1,050 | 0.890907 | 0.834836 | Nigeria |
NGA_SCH_000004_ADM_2024 | NGA_SCH_000004 | 2024/2025 | 1,579 | 737 | 581 | 0.467148 | 0.789074 | Nigeria |
NGA_SCH_000005_ADM_2014 | NGA_SCH_000005 | 2014/2015 | 1,298 | null | 614 | 0.549673 | 0.861923 | Nigeria |
NGA_SCH_000005_ADM_2015 | NGA_SCH_000005 | 2015/2016 | 682 | 579 | 529 | 0.849908 | 0.915183 | Nigeria |
NGA_SCH_000005_ADM_2016 | NGA_SCH_000005 | 2016/2017 | 1,432 | 702 | 585 | 0.490561 | 0.833522 | Nigeria |
NGA_SCH_000005_ADM_2017 | NGA_SCH_000005 | 2017/2018 | 367 | 191 | 139 | 0.522159 | 0.729966 | Nigeria |
NGA_SCH_000005_ADM_2018 | NGA_SCH_000005 | 2018/2019 | 733 | 391 | 290 | 0.534269 | 0.742073 | Nigeria |
NGA_SCH_000005_ADM_2019 | NGA_SCH_000005 | 2019/2020 | 1,745 | 1,195 | 1,046 | 0.685335 | 0.875755 | Nigeria |
NGA_SCH_000005_ADM_2020 | NGA_SCH_000005 | 2020/2021 | 1,186 | 516 | 393 | 0.435691 | 0.763479 | Nigeria |
NGA_SCH_000005_ADM_2021 | NGA_SCH_000005 | 2021/2022 | 1,341 | 722 | 595 | 0.53848 | 0.824312 | Nigeria |
NGA_SCH_000005_ADM_2022 | NGA_SCH_000005 | 2022/2023 | 1,186 | 570 | 541 | 0.481448 | 0.949435 | Nigeria |
NGA_SCH_000005_ADM_2023 | NGA_SCH_000005 | 2023/2024 | 748 | 549 | 453 | 0.73526 | 0.82567 | Nigeria |
NGA_SCH_000005_ADM_2024 | NGA_SCH_000005 | 2024/2025 | 1,639 | 685 | 538 | 0.418178 | 0.786268 | Nigeria |
NGA_SCH_000006_ADM_2019 | NGA_SCH_000006 | 2019/2020 | 1,476 | 1,142 | 950 | 0.774388 | 0.832734 | Nigeria |
NGA_SCH_000006_ADM_2020 | NGA_SCH_000006 | 2020/2021 | 779 | 733 | 557 | 0.942108 | 0.760514 | Nigeria |
NGA_SCH_000006_ADM_2021 | NGA_SCH_000006 | 2021/2022 | 885 | 393 | 311 | 0.444469 | 0.792414 | Nigeria |
NGA_SCH_000006_ADM_2022 | NGA_SCH_000006 | 2022/2023 | 450 | 360 | 285 | 0.800519 | 0.791946 | Nigeria |
NGA_SCH_000006_ADM_2023 | NGA_SCH_000006 | 2023/2024 | 933 | 877 | 701 | 0.940883 | 0.799706 | Nigeria |
NGA_SCH_000006_ADM_2024 | NGA_SCH_000006 | 2024/2025 | 1,584 | 712 | 647 | 0.449659 | 0.908826 | Nigeria |
NGA_SCH_000007_ADM_2016 | NGA_SCH_000007 | 2016/2017 | 236 | 118 | 83 | 0.502585 | 0.710194 | Nigeria |
NGA_SCH_000007_ADM_2017 | NGA_SCH_000007 | 2017/2018 | 709 | null | 309 | 0.579277 | 0.75506 | Nigeria |
NGA_SCH_000007_ADM_2018 | NGA_SCH_000007 | 2018/2019 | 1,419 | 967 | 731 | 0.681651 | 0.756624 | Nigeria |
NGA_SCH_000007_ADM_2019 | NGA_SCH_000007 | 2019/2020 | 913 | 413 | 386 | 0.452897 | 0.935131 | Nigeria |
NGA_SCH_000007_ADM_2020 | NGA_SCH_000007 | 2020/2021 | 1,713 | 1,172 | 1,065 | 0.684763 | 0.909428 | Nigeria |
NGA_SCH_000007_ADM_2021 | NGA_SCH_000007 | 2021/2022 | 1,852 | 1,088 | 792 | 0.587586 | 0.728368 | Nigeria |
NGA_SCH_000007_ADM_2022 | NGA_SCH_000007 | 2022/2023 | 200 | 139 | 121 | 0.697796 | 0.873946 | Nigeria |
NGA_SCH_000007_ADM_2023 | NGA_SCH_000007 | 2023/2024 | 312 | 238 | 215 | 0.762991 | 0.904306 | Nigeria |
NGA_SCH_000007_ADM_2024 | NGA_SCH_000007 | 2024/2025 | 1,066 | 729 | 557 | 0.68415 | 0.765207 | Nigeria |
NGA_SCH_000008_ADM_2019 | NGA_SCH_000008 | 2019/2020 | null | 1,281 | 1,075 | 0.930981 | 0.839573 | Nigeria |
NGA_SCH_000008_ADM_2020 | NGA_SCH_000008 | 2020/2021 | 1,233 | 922 | 723 | 0.748206 | 0.784757 | Nigeria |
NGA_SCH_000008_ADM_2021 | NGA_SCH_000008 | 2021/2022 | 1,172 | 920 | 838 | 0.785197 | 0.911665 | Nigeria |
NGA_SCH_000008_ADM_2022 | NGA_SCH_000008 | 2022/2023 | 453 | 402 | 359 | 0.887898 | 0.894969 | Nigeria |
NGA_SCH_000008_ADM_2023 | NGA_SCH_000008 | 2023/2024 | 1,993 | 1,729 | 1,614 | 0.868011 | 0.933909 | Nigeria |
NGA_SCH_000008_ADM_2024 | NGA_SCH_000008 | 2024/2025 | 1,493 | 1,335 | 1,136 | 0.894205 | 0.851607 | Nigeria |
NGA_SCH_000009_ADM_2017 | NGA_SCH_000009 | 2017/2018 | 1,185 | 540 | 467 | 0.455809 | 0.865875 | Nigeria |
NGA_SCH_000009_ADM_2018 | NGA_SCH_000009 | 2018/2019 | 1,934 | null | 834 | 0.556157 | 0.776341 | Nigeria |
NGA_SCH_000009_ADM_2019 | NGA_SCH_000009 | 2019/2020 | 1,779 | 1,388 | 1,197 | 0.780542 | 0.86299 | Nigeria |
NGA_SCH_000009_ADM_2020 | NGA_SCH_000009 | 2020/2021 | 1,754 | null | 613 | 0.496759 | 0.704519 | Nigeria |
NGA_SCH_000009_ADM_2021 | NGA_SCH_000009 | 2021/2022 | 447 | 258 | 228 | 0.57897 | 0.886623 | Nigeria |
NGA_SCH_000009_ADM_2022 | NGA_SCH_000009 | 2022/2023 | 1,969 | 1,593 | 1,402 | 0.809294 | 0.880235 | Nigeria |
NGA_SCH_000009_ADM_2023 | NGA_SCH_000009 | 2023/2024 | 689 | 490 | 354 | 0.71257 | 0.723419 | Nigeria |
NGA_SCH_000009_ADM_2024 | NGA_SCH_000009 | 2024/2025 | 1,956 | 1,466 | 1,117 | 0.749983 | 0.762615 | Nigeria |
NGA_SCH_000010_ADM_2014 | NGA_SCH_000010 | 2014/2015 | 87 | 81 | 66 | 0.938391 | 0.821686 | Nigeria |
NGA_SCH_000010_ADM_2015 | NGA_SCH_000010 | 2015/2016 | 1,849 | 1,381 | 1,241 | 0.747126 | 0.898703 | Nigeria |
NGA_SCH_000010_ADM_2016 | NGA_SCH_000010 | 2016/2017 | 847 | 639 | 554 | 0.754807 | 0.867231 | Nigeria |
NGA_SCH_000010_ADM_2017 | NGA_SCH_000010 | 2017/2018 | 1,554 | 788 | 693 | 0.507384 | 0.880613 | Nigeria |
NGA_SCH_000010_ADM_2018 | NGA_SCH_000010 | 2018/2019 | 708 | 505 | 450 | 0.714602 | 0.892139 | Nigeria |
NGA_SCH_000010_ADM_2019 | NGA_SCH_000010 | 2019/2020 | 1,585 | 788 | 736 | 0.497411 | 0.935115 | Nigeria |
NGA_SCH_000010_ADM_2020 | NGA_SCH_000010 | 2020/2021 | 526 | 291 | 267 | 0.553758 | 0.920874 | Nigeria |
NGA_SCH_000010_ADM_2021 | NGA_SCH_000010 | 2021/2022 | 1,965 | null | 747 | 0.408501 | 0.93208 | Nigeria |
NGA_SCH_000010_ADM_2022 | NGA_SCH_000010 | 2022/2023 | 546 | 384 | 323 | 0.704021 | 0.843073 | Nigeria |
NGA_SCH_000010_ADM_2023 | NGA_SCH_000010 | 2023/2024 | null | 650 | 502 | 0.869155 | 0.773612 | Nigeria |
NGA_SCH_000010_ADM_2024 | NGA_SCH_000010 | 2024/2025 | 1,030 | 520 | 398 | 0.505001 | 0.767119 | Nigeria |
NGA_SCH_000011_ADM_2017 | NGA_SCH_000011 | 2017/2018 | 177 | 107 | 85 | 0.604978 | 0.798673 | Nigeria |
NGA_SCH_000011_ADM_2018 | NGA_SCH_000011 | 2018/2019 | 615 | 481 | 405 | 0.782816 | 0.842515 | Nigeria |
⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.
School admission statistics including applications, acceptances, and enrollment rates.
| Column | Data Type | Description |
|---|---|---|
trend_id |
object | Trend Id |
school_id |
object | School Id |
academic_year |
object | Academic Year |
num_applications |
float64 | Num Applications |
num_accepted |
float64 | Num Accepted |
num_enrolled |
float64 | Num Enrolled |
acceptance_rate |
float64 | Acceptance Rate |
enrollment_rate |
float64 | Enrollment Rate |
country |
object | Country |
The dataset includes a 10,000-row sample in CSV format for quick exploration.
school_profilesimport pandas as pd
# Load full dataset
df = pd.read_parquet('admission_trends_full.parquet')
print(f"Loaded {len(df):,} records")
print(df.head())
# Load sample
df_sample = pd.read_csv('admission_trends_sample.csv')
print(df_sample.describe())
from datasets import load_dataset
# Load from Hugging Face
dataset = load_dataset('nigeria-education-admission_trends')
df = dataset['train'].to_pandas()
This dataset was generated using statistical distributions based on:
Note: This is synthetic data generated for research and testing purposes.
This dataset is part of the Nigeria Education Datasets Collection (45 datasets total).
Browse the full collection: Nigeria Education Datasets
@dataset{nigeria_admission_trends_2025,
title={Nigeria Education Dataset: Admission Trends},
author={[Your Name/Organization]},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/datasets/nigeria-education-admission_trends}
}
[Specify your license]
[Your contact information]
Part of: Nigeria Education Datasets Collection
Total Datasets: 45
Country: Nigeria 🇳🇬